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        <title>The slope coefficient significance</title>
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        <description>The slope coefficient significance

The test of significance for the coefficient of linear regression equation

This test is used to verify the hypothesis determining the lack of a linear dependence between an analysed features and is based on the slope coefficient (also called an effect), calculated for the sample. The closer to 0 the value of</description>
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The test for checking the equality of the coefficients of linear regression equation, which come from 2 independent populations

This test is used to verify the hypothesis determining the equality of 2</description>
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        <title>The Pearson correlation coefficient significance</title>
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        <description>The Pearson correlation coefficient significance

The test of significance for Pearson product-moment correlation coefficient is used to verify the hypothesis determining the lack of linear correlation between an analysed features of a population and it is based on the Pearson's linear correlation coefficient calculated for the sample. The closer to 0  the value of</description>
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        <description>The linear correlation coefficients

The Pearson product-moment correlation coefficient  called also the Pearson's linear correlation coefficient (Pearson (1896,1900)) is used to decribe the strength of linear relations between 2 features. It may be calculated on an</description>
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The test for checking the equality of the Pearson product-moment correlation coefficients, which come from 2 independent populations

This test is used to verify the hypothesis determining the equality of 2</description>
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